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International Journal of Artificial Intelligence Research
Published by STMIK Dharma Wacana
ISSN : -     EISSN : 25797298     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
International Journal Of Artificial Intelligence Research (IJAIR) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Artificial intelligent Research which covers four (4) majors areas of research that includes 1) Machine Learning and Soft Computing, 2) Data Mining & Big Data Analytics, 3) Computer Vision and Pattern Recognition, and 4) Automated reasoning. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : -
Articles 621 Documents
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Digitalisasi Zakatnomics: Community-Based Mustahik Economic Empowerment (An Economic Empowerment Chain Study) Rahayu, Nurul Widyawati Islami; Adhim, Fauzan
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1257

Abstract

Zakatnomics is a management model of zakat, infak, and alms for improving economic productivity. The strategic role of zakat as Islamic Social Finance has not so far made any significant improvement on the mustahik (zakat beneficiaries) economy. This condition requires lessons learned from various success stories of zakat management in alleviating poverty. On this basis, this study aimed to explore the process of economic empowerment of zakat mustahik carried out by BAZNAS Jember in its target groups in SDG villages in aspects of existing community strategies, production, and marketing. This research employed qualitative approaches focusing on ethical and emic data collected by interviews, FGDs, observations, and documentation techniques. Specifically, the study used Creswell's spiral data analysis. This study produced three descriptive findings: First, the Existing Community Strategy includes 1) the presence of local leaders to supervise the process on-site, 2) creating income management and sharing to support members' daily finances, 3) utilizing supporting activities to build member solidity and education, and 4) social empathy to foster member care. Second, production development included 1) legality for business formalization 2) optimization for increasing value, and 3) expert assistance to encourage member enthusiasm with external quality assurance. Third, the marketing strategy included 1) direct marketing by combing the local market and 2) marketing integration, supporting the needs of implementing the BAZNAS Jember program
Resilience Rural Banks Pasca Covid-19 Puspitasari, Devy Mawarnie; Chin, Jacky; Dasman, Sunita; Indriani, Poppy; Saputro, Rizal Sigit
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1342

Abstract

Beginning with a health crisis, the Covid-19 pandemic has had a domino effect on social, economic, and financial aspects. The economy has experienced a slowdown, accompanied by a decline in purchasing power due to reduced income. Tourist areas have become completely deserted, resulting in a lack of income and economic activity. The impact of the pandemic has inevitably spread to the banking sector, particularly affecting Rural Banks (known as BPR). The role of BPR, as part of the government's strategy for local economic development and labor absorption, has also been disrupted. In Indonesia, BPR has long been the backbone of microfinance, serving micro, small, and medium enterprises (MSMEs). However, the Covid-19 pandemic has shaken this sector, forcing BPRs to confront challenges while exploring new opportunities for resilience. This research recommends that Rural Banks strengthen risk management and operational efficiency to enhance their resilience in the future.This research contributes to the existing literature by providing a focused analysis of Rural Banks specific financial performance variables and recommends that Rural Banks strengthen risk management and operational efficiency to enhance their resilience in the future. The research employs logit analysis to develop a prediction model. The findings indicate that the resilience model can serve as a predictive tool for BPR resilience in the post-pandemic period, supporting economic empowerment, particularly for MSMEs and labor absorption. This study introduces the concept of Off-Balance Sheet management as a strategic tool for enhancing resilience, which has been underexplored in the context of rural banking in Indonesia.
The Influence Of Marketing, Product And Brand Communications On Purchasing Decisions In The Digital Era Pranawukir, Iswahyu
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1326

Abstract

The purpose of this research is to determine the influence of marketingcommunications, products and brands on purchasing decisions in theDigital Era. The method in this research is survey research with aquantitative approach, assessment based on numbers using statisticalcalculations, using simple random sampling techniques and datacollection techniques in this research using library research, fieldresearch, observation and questionnaires. This research used a sample of100 potential consumers who had experience purchasing products orservices in the digital era. Data was processed using SPSS version 25.The research results show that the Marketing Communication variable(X1) partially has a significant positive effect on Purchasing Decisions(Y) with a t-count value > t-table (2.926 > 1.988) with a value (sig) of0.004 < 0.05. The Product variable (X2) partially has a significantpositive effect on Purchasing Decisions (Y) with a t-count > t-tablevalue (2.033 > 1.985) with a value (sig) 0.045 < 0.05, the Brand variable(X3) partially has no effect on Purchasing Decisions (Y) with a t-countvalue > t-table (-1,000 < 1.985) with a value (sig) 0.320 > 0.05 . And thevariables marketing communication (X1), Product (X2) and BrandPerception (X3) simultaneously have a significant positive effect on thePurchasing Decision variable (Y) F-count value > F-table or 8.511 >2.70 and significant < 0.05 (0.000 < 0.05). The coefficient ofdetermination (adjust R Square) is 0.925 or 92.5%, which means thatthe independent variables consisting of marketing communications(X1), products (X2) and brands (X3) can contribute an influence of 21%and the remaining 79%. influenced by other factors
DETERMINANT OF FINANCIAL DISTRESS IN MANUFACTURING COMPANIES Hermiyetti, Hermiyetti -; Dharmawan, Donny; Mulatsih, Listiana Sri; Alfiana, Alfiana; Anantadjaya, Samuel PD
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1304

Abstract

Financial distress is a picture of a continuous decline in a company's financial performance that needs to be predicted and minimized. The occurrence of financial distress begins with a decline in the company's financial condition which begins with the company's inability to meet its short-term obligations. The purpose of this study is to determine and evaluate the effect of Return on Assets (ROA), company size and also Debt to Equity Ratio (DER) on financial distress. Regression analysis and quantitative methods are used in the research process. Manufacturing companies that consistently release their financial reports during 2019-2022 and are listed on the Indonesia Stock Exchange are examples. The sampling method used in this study was purposive sampling and succeeded in obtaining 40 samples from 10 companies. Data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The results of this study indicate that ROA has a significant effect on financial distress. Meanwhile, company size and DER do not affect financial distress in manufacturing companies in the 2019-2022 period. The implications of the results of this study for manufacturing company management can be an indicator of corrective actions before the company experiences financial distress or has the potential to go bankrupt.
AI-Powered Decision Support Systems for MSMEs Growth Strategies in Emerging Markets Sakova, Megha; Rahayu, Agus; Wibowo, Lili Adi; Dirgantari, Puspo Dewi
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1366

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in emerging markets face significant challenges in strategic decision-making due to limited resources and dynamic environments. This study aims to explore the role of AI-Powered Decision Support Systems (AI-DSS) in supporting growth strategies using the dynamic capabilities theory. The study involved 250 food processing business actors who have adopted or considered implementing AI-DSS, with data analysis conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that dynamic capabilities and dynamic environments significantly influence the adoption of AI-DSS, ultimately enhancing business performance. Furthermore, dynamic environments were found to moderate the relationship between dynamic capabilities and AI-DSS adoption, indicating that adaptability to external changes is crucial in maximizing the benefits of AI technology. This research contributes theoretically to the literature on dynamic capabilities and technology while offering practical implications for food processing entrepreneurs and policymakers in emerging markets. The study highlights the importance of developing adaptive capabilities and leveraging AI technology to improve competitiveness amidst ever-changing business dynamics.
The Influence Of Digital Marketing And Product Quality On Online Purchase Intention Moderated By Product Variation Setiawan, Zunan; Anwar, M.; Judijanto, Loso; Ilyas, Arifai; Elizabeth, Elizabeth
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1330

Abstract

A Because the current online shopping phenomenon continues to grow, businesses must be aware of the importance of digital marketing and providing quality products so that customers can buy goods on the market. This study aims to examine and analyze the influence of digital marketing and product quality on purchase intention with the product variations as an moderating variable in Tokopedia aplication users. The method of research is using the quantitative and regression analysis. The sampling method used purposive sampling and the number of samples used in this study amounted to 60 respondent source was distribution of questionnaires to Tokopedia users in Indonesia by online via WhatsApp. The data analysed with Partial Least Squares-Structural Equation Modeling (PLS-SEM). The results of this study indicate that the digital marketing and product quality have a significant positive effect on purchase intention, while product variations not have a significant effect on purchase intention in Tokopedia aplication user. The product variations is able to moderate the influence of digital marketing and product quality on purchase intention. The findings of this study can be reference uses as reference for future researchers who will study similar problems. This research can also be used as evaluation material for management of companies that sell products on Tokopedia to pay more attention to digital marketing and product quality in order to make it easier to carry out marketing with a wider reach and increase consumer purchase intention
Loan Origination System Implementation Model and Credit Business Process Value Creation in Improving Business Performance Nasution, Harmansyah; Rahayu, Agus; Gaffar, Vanessa; Sofia, Alfira; Yulianto, Erwin
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1349

Abstract

The banking industry as a credit provider has changed substantially over the last century, namely that when a bank will lend money with collateral as collateral, the process is carried out in stages involving many bank officers. Currently, almost all operating financial institutions have been digitized, especially the credit application process. More and more customers are choosing digital loans over traditional loans because of the benefits they provide. The aim of this research was to analyze the picture of Business Performance which includes Customer Requirements, Digital Leadership, Loan Origination System Implementation and Credit Business Process Value Creation which influence it. The research method uses quantitative research with descriptive and verification research types. The research population was 64 branch offices which were the analysis units using a saturated sampling technique. The research instrument uses a questionnaire and data analysis techniques to determine the correlative relationship in this research using Partial Least Square. The research results show that Business Performance with the dominant dimension, namely Financial Performance, is influenced by Loan Origination System Implementation with the dominant dimension, namely Document Management and Credit Business Process Value Creation with the dominant dimension, namely Responsiveness. Loan Origination System Implementation and Credit Business Process Value Creation are influenced by Customer Requirements with the dominant dimension, namely Customer Expectation and Digital Leadership with the dominant dimension, namely Customer Focused.
Public Organization’s Dynamic Managerial Capabilities on Digital Transformation Elyusufi, Abdul Muhaimin; Suryadi, Edi; Senen, Syamsul Hadi; Rofaida, Rofi
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1338

Abstract

This study aims to analyse how the dynamic managerial capacity and organizational readiness of the Jambi City government affect organizational performance in the digitalization transformation of this city towards smart governance. Local governments do many things to achieve the demands of regional autonomy, regional development, especially with the use of information technology, ultimately leads to the concept of smart city with one of the indicators that becomes the main intersection is smart governance This research is a descriptive-associative quantitative study that aims to describe each variable in the model, as well as find out the relationship between several variables studied, The population in this study were all Local Government Organizations (OPD) in Jambi City as many as 30 OPDs with a sample of 149 managers which are directly implement the Smart Governance agenda. The results showed the achievement of smart governance in three aspects; excellent service, bureaucratic management and decision making. All three are supported directly or partially by the dynamic managerial abilities of the head of the office and the head of the section or unit in the OPD. However, the organizational readiness of the OPD contributes negatively, meaning that all organizational components are not ready to support the transformation of smart governance and only from key managers. This study also found that another factor that is fundamental to the implementation of smart governance is the political will of the Jambi City Regional Head
Digital Transformation and Taxpayer Compliance: A Study of Key Factors Based on Maqasid Syariah Principles Valifauzy, Annindi Galih; Witono, Banu; Zulfikar, Zulfikar
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1340

Abstract

This study aims to investigate the factors influencing taxpayer compliance, particularly focusing on the role of digital transformation, with a framework rooted in the principles of Maqasid Syariah. A quantitative approach was employed, utilizing surveys and analyzing data with structural equation modeling (SEM) to evaluate the relationships among variables. The study reveals that tax knowledge, social norms, service quality, and sanctions significantly influence taxpayer compliance. Digital transformation plays a crucial moderating role, enhancing the impact of tax knowledge on compliance, thus reducing barriers to understanding tax regulations.Practical Implications: To improve tax compliance, governments should focus on enhancing tax education and fostering positive social norms surrounding taxpaying. Strengthening service quality, especially through digital platforms, will make tax processes more accessible, efficient, and transparent, ultimately increasing voluntary compliance. This study contributes to the existing literature by introducing the concept of Maqasid Syariah to the study of taxpayer compliance and digital transformation, offering new insights into the intersection of Islamic values and modern tax practices This study aims to investigate the factors influencing taxpayer compliance, particularly focusing on the role of digital transformation, with a framework rooted in the principles of Maqasid Syariah. A quantitative approach was employed, utilizing surveys and analyzing data with structural equation modeling (SEM) to evaluate the relationships among variables. The study reveals that tax knowledge, social norms, service quality, and sanctions significantly influence taxpayer compliance. Digital transformation plays a crucial moderating role, enhancing the impact of tax knowledge on compliance, thus reducing barriers to understanding tax regulations.Practical Implications: To improve tax compliance, governments should focus on enhancing tax education and fostering positive social norms surrounding taxpaying. Strengthening service quality, especially through digital platforms, will make tax processes more accessible, efficient, and transparent, ultimately increasing voluntary compliance. This study contributes to the existing literature by introducing the concept of Maqasid Syariah to the study of taxpayer compliance and digital transformation, offering new insights into the intersection of Islamic values and modern tax practices.
Measuring The Role Of Communication, Career Development, Rewarding In Improving HR Perfomance Zulaika, Siti; Dharta, Firdaus Yuni; Dharmawan, Donny; Setyarto, Dwiatmodjo Budi; Setiawan, Roy
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1296

Abstract

The purpose of this study is to examine and evaluate how PT BPRS Dinar Ashri KC workers' performance is impacted by career development, communication, and rewards. Terra. With 35 employees, the sample strategy makes use of a census sampling approach. Data analysis was done with IBM SPSS version 22. The study's findings indicate that incentives, career development, and communication all have a big impact on workers' output. Simultaneously, PT personnel' performance is significantly impacted by career development, incentives, and communication. Dinar Ashri BPRS.

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